DEVELOPMENT... OpenML
Run
187331

Run 187331

Task 3702 (Supervised Classification) fri_c1_1000_50 Uploaded 25-02-2015 by Felicia West
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Flow

weka.NBTree(3)Ron Kohavi: Scaling Up the Accuracy of Naive-Bayes Classifiers: A Decision-Tree Hybrid. In: Second International Conference on Knoledge Discovery and Data Mining, 202-207, 1996.

Result files

xml
Description

XML file describing the run, including user-defined evaluation measures.

model
Model readable

A human-readable description of the model that was built.

model
Model serialized

A serialized description of the model that can be read by the tool that generated it.

arff
Predictions

ARFF file with instance-level predictions generated by the model.

22 Evaluation measures

Area under ROC curve
0.904
Per class
F measure
0.8548
Per class
Kappa
0.7068
KB relative information score
633.8976
Mean absolute error
0.1896
Mean prior absolute error
0.4956
Number of instances
1000
Per class
OS information
[Oracle Corporation, 1.7.0_75, amd64, Linux, 3.16.0-29-generic]
Precision
0.8549
Per class
Predictive accuracy
0.855
Prior entropy
0.9936
Recall
0.855
Per class
Relative absolute error
0.3827
Root mean prior squared error
0.4978
Root mean squared error
0.3466
Root relative squared error
0.6964
SciMark benchmark
1350.9691
UserCPU time millis
730
UserCPU time millis testing
30
UserCPU time millis training
700

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